Triple
T40019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Boer War |
E790
|
entity |
| Predicate | involvedMilitaryInnovation |
P1484
|
FINISHED |
| Object | use of modern magazine rifles |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: use of modern magazine rifles | Statement: [Second Boer War, involvedMilitaryInnovation, use of modern magazine rifles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedMilitaryInnovation Context triple: [Second Boer War, involvedMilitaryInnovation, use of modern magazine rifles]
-
A.
innovation
chosen
Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
-
B.
militaryConflict
Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
-
C.
warfareType
Indicates the specific kind or category of warfare that characterizes a given conflict or military engagement.
-
D.
militaryTheater
Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
-
E.
weaponsUsed
Indicates that one entity employed or utilized another entity as a weapon in carrying out an action or event.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24b80f4a8819090d2bffe29824b90 |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ab74c548190a54872e15c8394c3 |
completed | Feb. 28, 2026, 1:53 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.